Zudi Lin

Orcid: 0000-0003-4176-8035

According to our database1, Zudi Lin authored at least 25 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation.
IEEE Trans. Medical Imaging, December, 2023

Domain-Scalable Unpaired Image Translation via Latent Space Anchoring.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs.
IEEE J. Biomed. Health Informatics, August, 2023

Relaxing Contrastiveness in Multimodal Representation Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
NucExM Dataset for Nuclei Segmentation in Expansion Microscopy.
Dataset, August, 2022

Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN.
CoRR, 2022

Revisiting RCAN: Improved Training for Image Super-Resolution.
CoRR, 2022

Discrete Cosine Transform Network for Guided Depth Map Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Texture-based Error Analysis for Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022


YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics.
CoRR, 2021

Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation.
CoRR, 2021

Asymmetric 3D Context Fusion for Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Two Stream Active Query Suggestion for Active Learning in Connectomics.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Topological Nomenclature for 3D Shape Analysis in Connectomics.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
White-Box Adversarial Defense via Self-Supervised Data Estimation.
CoRR, 2019

FDive: Learning Relevance Models Using Pattern-based Similarity Measures.
Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019


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